Data Scientist- ML Engineering

We are:

Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve

Are you a fit?

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:

Key Responsibilities

• Architect end-to-end ML infrastructure, including pipelines, model serving, monitoring, and governance.

• Lead deployment of high-impact ML solutions such as forecasting engines, optimization models, and NLP use cases.

• Design and manage advanced CI/CD workflows using Azure Pipelines, MLflow, and Databricks.

• Implement model registry, versioning, lineage, and audit-compliant governance frameworks.

• Build and maintain monitoring systems to detect model drift and automate retraining cycles.

• Mentor MLOps engineers and collaborate with platform, data, and product teams to ensure seamless integration.

• Drive adoption of MLOps best practices across containerization, observability, testing, and scalable infrastructure.

Must-have Skills

• 5–8+ years of experience in ML Engineering, MLOps, or building large-scale ML systems.

• Strong expertise with Spark, Azure Databricks, MLflow, Kubernetes, and Docker.

• Proven track record deploying ML solutions at enterprise scale with audit, governance, and monitoring layers.

• Experience designing ML infrastructure and CI/CD pipelines in cloud environments.

• Knowledge of hybrid or multi-cloud architectures.

• Bachelor’s degree required; Master’s preferred in Computer Science, Engineering, or related fields.

Nice-to-have:

• AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.

What we offer:

• A High-Impact Environment

• Commitment to Professional Development

• Flexible and Collaborative Culture

• Global Opportunities

• Vibrant Community

• Total Rewards

*Specific benefits are determined by the employment type and location.

Find out more about our culture here.